Machine Learning Approach to NOx Prediction for SCR Process of Thermal Power Plant

Author:

Matsuzaki A.,Kiribuchi D.,Shimizu K.

Publisher

Elsevier BV

Subject

General Medicine

Reference11 articles.

1. Random forests;Breiman;Machine learning,2001

2. Extremely randomized trees;Geurts;Machine learning,2006

3. Anticipatory nh3 injection control for scr system based on the prediction of the inlet nox concentration;Liu;Journal of the Energy Institute,2021

4. Two-degree of freedom configuration of generalized predictive control to increase the ability of the disturbance reduction process of a thermal power plant (in japanese);Nakamoto;Trans. of the Society of Instrument and Control Engineers,2002

5. A predictive control strategy for nonlinear nox decomposition process in thermal power plants;Peng;IEEE Trans. on Systems, Man, and Cybernetics – Part A: Systems and Humans,2006

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